Profile Evaluation for MFE 2025

[mudit]

I am a prospective MFE applicant from India, planning to enroll in Fall 2025. Before submitting my application, I am seeking advice on target schools and whether they align with my background and goals. I have reviewed profiles on Tracker and LinkedIn, but would appreciate a second opinion to ensure I’m on the right track.

Education:

• B.Tech in Computer Science from National Institute of Technology Karnataka (NITK), 2023 (Tier 1 college in India) GPA: 8.15/10
• Relevant Courses: Engineering Mathematics, Linear Algebra and Matrices, Probability Theory, and Applied Machine Learning, with an average of a grade 9/10 in the math courses.

Skills:

• Proficient in Python, C++, SQL, and machine learning models.
• Actively trading for the past 2-3 years, with a focus on quantitative strategies.

Internship/Work Experience:

• 1.5 years as a Software Engineer at Nutanix, focusing on backend systems and scalable infrastructure.
• Summer Analyst at Goldman Sachs, worked on refactoring the cards division.
• Junior Machine Learning Engineer at Omdena, worked on collaborative AI projects.

Additional Experience:

• Hackathon participation (HackVerse, Code For Good).
• Finance-related work at an NGO, managing chapter finances since past 3 years.

Standardized Scores:

• GMAT Focus: 695 (98th percentile). Q95 V76 DI96
• TOEFL: Planning to take.

Target Schools:

1. UC Berkeley MFE
2. CMU MSCF
3. Columbia MSFE
4. Georgia Tech QCF
5. Cornell CFEM
6. UCLA MFE
7. Oxford FinMath
8. EPFL MFE

I hope my list is well-balanced, but if there are other schools that might align with my background, please do suggest. Any insights would be greatly appreciated!

Thank you for your time and help!